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- Title
The Robustness of MDS Configurations in the Case of Incomplete Data.
- Authors
Malhotra, Naresh K.; Jain, Arun K.; Pinson, Christian
- Abstract
The authors examine the robustness of MDS configurations when incomplete rather than complete input data are used. Using two empirical studies, they show that robustness varies as the amount of incomplete data increases and that random methods of data deletion perform as well as cyclic designs. These findings provide empirical support for earlier Monte Carlo literature on the topic. The authors also show that individual characteristics of respondents, namely cognitive integration and imagery, influence the quality of configurations obtained with incomplete data.
- Subjects
MATHEMATICAL models of marketing; MONTE Carlo method; DATA analysis; ALGORITHMS; HUMAN information processing; MATHEMATICAL models; NUMERICAL analysis; MARKETING models; STATISTICAL correlation; MULTIDIMENSIONAL scaling
- Publication
Journal of Marketing Research (JMR), 1988, Vol 25, Issue 1, p95
- ISSN
0022-2437
- Publication type
Article
- DOI
10.2307/3172929